Sentence examples for data analytic technique from inspiring English sources

Attention is given to the benefits of using survival analysis as a data analytic technique applicable for employee retention studies.

Our approach based on MFA in the sense of Escofier-Pagès aims at providing a multivariate data analytic technique for applications in biological systems.

Information theory can help identify and discourage unnecessary testing and bloodwork, and can in general be a useful data analytic technique for many medical specialties that deal with information overload.

These two areas are recently melding, with key national initiatives to support both, and with data analytic techniques migrating into biological and physical computation problems.

And there's more: it also exposes students to methods of machine learning and computational statistics, offering a broader perspective on modern data analytic techniques.

Existing data analytic techniques are mostly based on building the same one model of variable relations over the full ranges of all variable values, although relations of variables may exist only for certain values of variables or different relations exist for different values of variables.

She also leads many taskforces in applying advanced data analytic techniques to help industries make use of data, leading to improved productivity and innovation through business intelligence.

Implications of matching data analytic techniques appropriately with the often complexly distributed datasets of mental health services utilization variables are discussed.

Determine how big data analytic techniques can be applied to contraceptive calendar data to develop a deeper understanding about the types of women who discontinue and for what reasons.

In the short and medium terms, social media sites should deploy data analytic techniques that interrogate social networks to give marketers a more accurate picture of trends about consumers' needs and preferences on a customized basis.

In order to alleviate this issue, to a certain extent, data analytic techniques can be used to study student engagement with their course in order to identify and predict trends about a student's performance.